In an era where customers demand instant and efficient service, traditional customer support methods often fall short, leading to dissatisfaction and lost loyalty. High call volumes, long wait times, and inconsistent responses are common issues that hinder customer support effectiveness. With QueriX’s Virtual Agent, businesses have the opportunity to revolutionize their customer support approach. By leveraging cutting-edge AI technology, this virtual assistant can improve coverage 24/7 on a massive scale while offering personalized interactions tailored to each customer’s needs and preferences. This massive personalization, powered by AI, not only enhances customer satisfaction and loyalty but also significantly reduces operational costs.
QueriX’s Virtual Agent seamlessly integrates with customer support systems, providing a user-friendly interface and a flexible chat widget for any customer-facing website. It connects with various data sources, such as customer records and knowledge bases, and integrates with CRM and CMS platforms to tailor interactions based on customer history and preferences. Utilizing Retrieval-Augmented Generation technology, it excels in complex technical domains with large volumes of documents by efficiently retrieving relevant information for accurate responses. The assistant operates reactively, answering queries about products, services, and account information, and proactively providing relevant recommendations and updates. It supports multichannel and multilingual environments, featuring hallucination control and sensitive information filtering to ensure precise and secure interactions. Additionally, it includes an intuitive non-technical dashboard for efficient management, optimizing customer support operations.
QueriX’s Virtual Agent transforms customer support by offering a comprehensive multichannel RAG assistant platform that includes the following features:
The RAG-enabled virtual agent provides omni-channel, multi-language, and multi-modal support for personalized and secure customer interactions. It ensures full context, scalability, and robust performance.
Feature | Customer Service Agent without RAG | Customer Service Agent with RAG |
---|---|---|
Data Retrieval | Limited to pre-defined knowledge base | Dynamic retrieval from multiple data sources |
Response Accuracy | Moderate | High |
Handling Complex Queries | Struggles with complex, multi-step queries | Excels at complex, multi-step queries |
Integration with Data Sources | Basic integration | Advanced integration with CRM, CMS, etc. |
Personalization | Limited personalization based on static data | High level of personalization from dynamic data |
Scalability | Moderate scalability | High scalability |
GDPR Compliance | Supports GDPR compliance | Streamlines accuracy for GDPR compliance |
User Trust | Moderate | High |